ZipRecruiter

Log In

2

Remote Ai Automation Jobs in Bothell, WA (NOW HIRING)

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... AI/ML-driven environments. * Exposure to deployment automation for Azure Cognitive Services and ...

ResourceWell

AVP, Product

Seattle, WA · On-site +1

... workflow automation and payouts. Integrate ML and AI into the platform for matching ... Hybrid or remote first, with some travel to key offices and leadership meetings as needed. Package ...

Phaidra

Expression of Interest - Engineering

Seattle, WA · Remote

$19 - $24.75/hr

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial ... We are a 100% remote company. * Competitive compensation & meaningful equity. * Outsized ...

AfterShip

TikTok Shop Growth Consultant

Seattle, WA · Remote

$56K - $65K/yr

... automation, AI agents, and agency/TSP partners. Reporting to the Head of Product, this is a ... This is a fully remote, 6-month contract role with the potential for extension based on business ...

previous page

Showing results 41-60

All JobsAi Automation JobsRemote Ai Automation JobsRemote Ai Automation Jobs in Bothell, WA

Remote Ai Automation information

See Bothell, WA salary details

$41.4K

$119.8K

$182.2K

How much do remote ai automation jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote ai automation in Bothell, WA is $119,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $138,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Automation vs Data Analyst?

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a Remote AI Automation Specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What is a Remote AI Automation job?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.
What are the most commonly searched types of Ai Automation jobs in Bothell, WA? The most popular types of Ai Automation jobs in Bothell, WA are:
What job categories do people searching Remote Ai Automation jobs in Bothell, WA look for? The top searched job categories for Remote Ai Automation jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Ai Automation jobs? Cities near Bothell, WA with the most Remote Ai Automation job openings:
Remote Ai Automation jobs near you
Senior DevOps Engineer

Senior DevOps Engineer

The AES Group

Seattle, WA • Remote

$133K - $170K/yr

Contractor

Posted 25 days ago

Job description

Job Title: Senior DevOps Engineer
Location: Remote - USA

The AES Group is hiring an experienced Senior DevOps Engineer to join our growing technology team and drive enterprise-scale cloud infrastructure modernization initiatives. This is an exciting opportunity for a highly skilled DevOps professional with expertise in Terraform, Kubernetes, Python automation, and Azure cloud technologies, including Azure Databricks, to build scalable, secure, and reliable infrastructure supporting advanced AI/ML platforms.

Why Join The AES Group?

  • Work on cutting-edge cloud transformation and AI/ML infrastructure projects
  • Opportunity to contribute to GenAI and Azure Cognitive Services environments
  • Collaborate with high-performing engineering teams on enterprise-scale initiatives
  • Hybrid work flexibility based in Seattle, WA
  • Long-term project engagement with strong career growth potential

Key Responsibilities:

  • Design, deploy, and manage scalable, secure, and reliable infrastructure solutions using Terraform.
  • Lead migration efforts from ARM templates and PowerShell-based provisioning to Terraform-based Infrastructure as Code (IaC).
  • Develop and maintain reusable IaC modules to enable version-controlled, repeatable deployments.
  • Implement, manage, and optimize Kubernetes clusters supporting containerized microservices environments.
  • Partner with development teams to deploy, scale, and troubleshoot applications in Kubernetes ecosystems.
  • Automate provisioning, deployment, and operational workflows using Python scripting.
  • Build and maintain CI/CD pipelines to streamline software delivery and release cycles.
  • Integrate infrastructure provisioning seamlessly into CI/CD workflows.
  • Design and maintain scalable infrastructure environments for AI/ML and GenAI platforms.
  • Deploy and manage Docker containerized applications orchestrated through Kubernetes.
  • Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML workload orchestration.
  • Enable secure and efficient integration of AI/ML models into enterprise production platforms.
  • Establish monitoring, logging, and alerting systems to maintain infrastructure health and performance.
  • Implement security best practices to ensure compliance, governance, and data privacy standards.

Required Skills & Qualifications:

  • 10+ years of experience in DevOps, Infrastructure Engineering, or Cloud Platform Engineering.
  • Strong hands-on expertise with Terraform, including migration from ARM/PowerShell to Terraform.
  • Deep experience managing Kubernetes clusters and deploying containerized microservices.
  • Strong proficiency in Python scripting for automation and workflow optimization.
  • Solid experience with Docker and container orchestration technologies.
  • Hands-on experience designing and maintaining CI/CD pipelines.
  • Strong understanding of Infrastructure as Code (IaC) principles and best practices.
  • Proven experience with Microsoft Azure cloud platform services.
  • Required hands-on experience with Azure Databricks for cloud data processing and AI/ML platform integration.
  • Experience designing and supporting scalable infrastructure for AI/ML environments.
  • Knowledge of Azure Cognitive Services and GenAI project deployments is highly preferred.
  • Strong understanding of cloud security, compliance, and monitoring frameworks.
  • Excellent communication and collaboration skills in cross-functional engineering teams.

Preferred Qualifications:

  • Experience working as a platform engineer in AI/ML-driven environments.
  • Exposure to deployment automation for Azure Cognitive Services and GenAI workloads.
  • Prior involvement in enterprise cloud modernization initiatives.

Ready to make an impact? Apply now and join us on our journey!